CONTENT ACQUISITION SYSTEM
    1.
    发明公开

    公开(公告)号:US20240223869A1

    公开(公告)日:2024-07-04

    申请号:US18091234

    申请日:2022-12-29

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

    RENDERING A DYNAMIC ENDEMIC BANNER ON STREAMING PLATFORMS USING CONTENT RECOMMENDATION SYSTEMS

    公开(公告)号:US20250016426A1

    公开(公告)日:2025-01-09

    申请号:US18887756

    申请日:2024-09-17

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant Machine Language (ML) personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

    DEMOGRAPHIC PREDICTIONS FOR CONTENT ITEMS

    公开(公告)号:US20250047917A1

    公开(公告)日:2025-02-06

    申请号:US18922892

    申请日:2024-10-22

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for demographic predictions for content items. An example embodiment operates by assigning weights representing demographics to a first plurality of nodes of a predictive model and assigning predictive values representing predicted demographics to a second plurality of nodes of the model. Pairwise distances between the predictive values for the nodes of the second plurality of nodes and the weighted values of the first plurality of nodes may be calculated and the shortest calculated pairwise distances may be used to assign demographics for content items corresponding to nodes of the first plurality of nodes to content items corresponding nodes of the second plurality of nodes. When content is requested, a content item for which the same demographic has been assigned may be recommended to the requestor.

    RENDERING A DYNAMIC ENDEMIC BANNER ON STREAMING PLATFORMS USING CONTENT RECOMMENDATION SYSTEMS AND ADVANCED BANNER PERSONALIZATION

    公开(公告)号:US20250024104A1

    公开(公告)日:2025-01-16

    申请号:US18901391

    申请日:2024-09-30

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel, in conjunction with an object recognition model, to enhance dynamic generation of a banner being shown to a user via an awareness or performance campaign. This method allows the platform to present the most relevant ML personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

    STOCHASTIC CONTENT CANDIDATE SELECTION FOR CONTENT RECOMMENDATION

    公开(公告)号:US20240112041A1

    公开(公告)日:2024-04-04

    申请号:US17937497

    申请日:2022-10-03

    Applicant: ROKU, INC

    CPC classification number: G06N5/02 G06N5/048

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for stochastic candidate selection for content recommendation. An example embodiment operates by a computer-implemented method for stochastic candidate selection for content recommendation. The method includes receiving, by at least one computer processor, a first plurality of content candidates and selecting a second plurality of content candidates from the first plurality of content candidates. The method further include ranking the second plurality of content candidates based on one or more parameters and selecting a third plurality of content candidates from the ranked second plurality of content candidates. The method can further include displaying the third plurality of content candidates using a display device.

    RENDERING A DYNAMIC ENDEMIC BANNER ON STREAMING PLATFORMS USING CONTENT RECOMMENDATION SYSTEMS

    公开(公告)号:US20240022798A1

    公开(公告)日:2024-01-18

    申请号:US18353935

    申请日:2023-07-18

    Applicant: ROKU, INC.

    CPC classification number: H04N21/812 H04N21/458 H04N21/4316

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant Machine Language (ML) personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

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